The goal is to create a more expressive Social Force model,
the Deep Social Force model. The ultimate aim is to calibrate models
on large pedestrian datasets. The expressive detail of the model is adjustable
by the number of hidden units used for the deep neural networks and can increase
as more data becomes available in the future.
We have shown in our own work how a Social Force model can help a robot
navigate a crowded space [1]}.
We have also
observed the limits of the Social Force model where two robots that need to pass
each other did not effectively negotiate the situation because they
had no preference to pass each other on the right. The aim is to discover these
intuitive behavioral patterns from data with this Deep Social Force model.
